Lane Management Strategies For Mixed Traffic In Intelligent And Connected Environment

Connected and automated vehicles have attracted a lot of attention in the transport field due to their many advantages,such as short reaction time,small following distances and a wide range of road traffic information.With their unique operational characteristics of driving in a queue with a small spacing,they are expected to solve many existing traffic problems.However,in the mixed state of connected and automated vehicles and humandriven vehicles,the "queuing" performance between connected and automated vehicles is easily disturbed,which greatly limits their advantages.Therefore,in view of the traffic problems that may arise in the future mixed traffic environment of connected and automated vehicles,it is an important issue how to effectively play the role of connected and automated vehicles in the mixed traffic flow,taking into account the characteristics of the mixed traffic flow.This paper ensures that the advantages of connected and automated vehicles are brought into play by modelling and simulating the mixed traffic flow in an intelligent and connected environment and lane management in specific road scenarios,using the characteristics of dedicated lanes to separate connected and automated vehicles from the mixed traffic flow.From the perspective of improving the performance of urban road traffic,the mixed traffic flow and lane management strategies under the intelligent and connected environment are modelled and the lane management strategies under different penetration rates are analyzed.The specific contents of the paper are as follows:(1)To better represent the influence of lane management strategies on the intelligent and connected hybrid traffic environment,different driving states in the hybrid traffic flow are analyzed,an intelligent driver following model with collaborative driving strategies and a connected and automated vehicles lane change model considering multivehicle information in the communication range are constructed for the connected and automated vehicles,and the proposed two models are combined to build a hybrid traffic flow simulation in the intelligent and connected environment.The proposed model is combined with the proposed hybrid traffic flow simulation framework.Through microscopic simulation of the established hybrid traffic flow model,it is verified that it can better describe the driving state of vehicles in the hybrid traffic flow.(2)In order to verify the effectiveness of the management strategy for the connected and automated vehicle lanes,two highway section simulation scenarios are built.The first one is the impact of the location and number of dedicated lanes in the roadway on the traffic performance under the basic motorway section scenario.The second one is the scenario of the motorway section with access ramps to explore the impact of the existence of interweaving zones on the management strategy of dedicated lanes for the connected and automated vehicles.Then,the optimal lane management strategies under different scenarios are obtained through simulation analysis.Through the simulation comparison,it can be concluded that when the market penetration rate of the connected and automated vehicles reaches 40%-60%,the significance of setting up dedicated lanes begins to emerge,and that the dedicated lanes for the connected and automated vehicles will provide better performance when located on the inner side of the road.(3)A lane management strategy that allows connected and automated vehicles to borrow lanes on bus lanes is investigated.By comparing the performance indicators of roads under different bus lanes,a concept of dynamic bus lane is proposed to allow connected and automated vehicles to borrow lanes by controlling the opening and closing of the bus lane.By establishing a simulation and optimization model for the dynamic bus lane management strategy,an adaptive continuous Tabu Search algorithm is used to determine the optimal dynamic bus lane management strategy for a specific scenario.The case analysis shows that the strategy can ensure bus priority and improve the utilization of the dedicated lane under medium to high penetration.